Databricks
Large (~7,000)
Mercury
Large (~1,300)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Mercury
Best for: Engineers who want product ownership and fast growth building startup banking infrastructure
Ratings
DatabricksMercury
4.1
4.3
Overall
3.9
3.8
Work-Life Balance
4.0
3.9
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.8
Senior Mgmt
3.9
3.9
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 79% Recommend
👤 85% CEO Approval (Immad Akhund)
Culture Values
Databricks only
🌈 Diverse & Inclusive
Mercury only
🚀 Ship Fast & Iterate🧩 Wears Many Hats
Shared
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🎯 Direct Product Impact
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
Mercury
- Strong talent density with smart, motivated teammates and genuine autonomy and ownership
- Great Place to Work certified — product-first mindset with meaningful scope for every engineer
- Still figuring out how to scale processes — expect some ambiguity and shifting priorities
- Work-life balance rated 3.8/5 — periods of higher intensity during rapid growth phases
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Mercury
Choose Mercury if you want product ownership, fast growth, and to build banking infrastructure for startups — but expect growing pains and occasionally intense workloads.
Open Roles
Databricks — 842 jobs
💼 Sales / GTM
353
💻 Engineering
284
📋 Product
39
📣 Marketing
34
📊 Data
22
👤 HR / People
12
🧠 ML / AI
12
⚙️ Operations
11
🎨 Design
6
💰 Finance
5
⚖️ Legal
5
Mercury — 70 jobs
💻 Engineering
15
💼 Sales / GTM
13
👤 HR / People
4
📋 Product
4
🎨 Design
3
⚖️ Legal
3
⚙️ Operations
3
📊 Data
2
💰 Finance
2
📣 Marketing
2
🧠 ML / AI
1
🎧 Support
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Mercury scores 4.3/5.0 overall with a 3.8 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Strong Comp & Equity, Direct Product Impact. Databricks also emphasizes Diverse & Inclusive. Mercury also emphasizes Ship Fast & Iterate, Wears Many Hats.
On the hiring front, Databricks has 842 open roles and Mercury has 70 open roles.